Face detection in Matlab with source code

Face Detection

Object detection and tracking are important in many computer vision applications, including activity recognition, automotive safety and surveillance. Presented here is an face detection using MATLAB system that can detect not only a human face but also eyes and upper body.

Face detection is an easy and simple task for humans, but not so for computers. It has been regarded as the most complex and challenging problem in the field of computer vision due to large intra-class variations caused by the changes in facial appearance, ligh

ting and expression. Such variations result in the face distribution to be highly nonlinear and complex in any space that is linear to the original image space.

Face detection is the process of identifying one or more human faces in images or videos. It plays an important part in many biometric, security and surveillance systems, as well as image and video indexing systems.

WHAT IS FACE DETECTION?

The definition of face detection refers to a subset of computer technology that is able to identify people’s faces within digital images. Face detection applications employ algorithms focused on detecting human faces within larger images that might contain landscapes, objects and other parts of humans.

HOW FACE DETECTION WORKS

Face detection technology might begin by searching for human eyes. It might do this by testing valley regions in the gray-level image. It might then use a genetic algorithm to detect facial regions including eyebrows, the mouth, nose, nostrils and the iris. The algorithm would first identify possible facial regions and then apply additional testing in order to validate.

APPLICATIONS OF FACE DETECTION

Photography– Facial detection technology is being used more frequently in photography as a way to help cameras autofocus on peoples’ faces. Another application is smile recognition, which helps people take pictures at the perfect moment in order to capture smiles.

Facial Recognition– One of the most prevalent uses of face detection is a facial recognition system. A facial recognition system matches an individual’s face instantly against a database of photographs in order to establish identity. Facial recognition tools are used to secure phones and apps. They are also used by retail companies, airports, stadiums and other organizations in order to improve security.

People Counting and Marketing – Face detection is being used by some marketers in order to detect when people walk by a certain area. Face detecting systems can use algorithms to predict age, gender and other factors in order to serve up relevant advertisements.

Code Steps for Face detection:

1. load the image on the screen: I = imread('your image name');

2. read the image

3. show the image % imshow(I)

4. than apply the code of face detection % FDetect= vision.CascadeObjectDetector; %uploading an image

in the above code i have initialized the variable by name of FDetect than vision. cascadeObjectDector is the cascade object detector uses the Viola-Jones algorithm to detect people’s faces, noses, eyes, mouth, or upper body. 

5. %face detection

x=step(FDetect,I);

step calculates the step response of a dynamic system. For the state-space case, zero initial state is assumed. When it is invoked with no output arguments, this function plots the step response on the screen.

6. adding color for face detection of your choice e.g red, blue, green

for i=1:size(x,1)

    rectangle('position',x(i,:),'LineWidth',5,'LineStyle','-','EdgeColor','g');

These are just few lines of code by which face can easily be detected

I am sharing the screen shot of my code with output:)

Output:)